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RockCarry PL/0 语言编译器（一下简称RCompiler），是一个能将PL/0语言的源程序编译成
为多种形式的目标代码的编译器。目前的RCompiler支持的PL/0语言是一种微型的Pascal语言，
关于该语言的详细说明请参见“PL0语言简介.txt”一文。
RCompiler的输出类型可以是：1.四元式形式的中间代码和符号表、2.符合RVM虚拟机规范的
RVM代码文件（该文件可以被RVM虚拟机解释执行）、3.符合80x86汇编语言标准的汇编语言代码、
4.符合DOS规范的DOS可执行程序、5.符合Windows规范的Windows可执行程序。
-RockCarry PL/0 language compiler (you referred to RCompiler), is a capable of PL/0 compiler source language to become various forms of object code compiler. RCompiler support the current PL/0 language is a miniature of the Pascal language, the language on a detailed description please see the
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Size: 346112 |
Author: 王锋 |
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Description: 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。
RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点：
(1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布.
(2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间.
(3) RVM不需要估计过多的参数.
(4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.
-Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer' s theorem is no limit on nuclear function, adaptability and better.
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Size: 157696 |
Author: 何创新 |
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Description: Demo RVM relevance vector machine matlab
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Size: 17408 |
Author: Andr茅 |
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Description: 这是一个完善的RVM算法。其性能良好，代码清晰。能够很好的用于分类。-This is a perfect RVM algorithm. Its good performance, the code clear. Can be good for classification.
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Size: 2048 |
Author: wuxin |
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Description: it is rvm matlab code
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Size: 11264 |
Author: jimy |
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Description: Jikes研究虚拟机（Jikes Research Virtual Machine,简称Jikes RVM)是一种成熟的用于执行Java程序的虚拟机，其早期版本与当前版本分别在通用公共许可证（CPL）与Eclipse公共许可证（EPL）下开放代码。与其他以Java编写的虚拟机不同的是，Jikes RVM采用了元循环技术。
Jikes RVM采用了元循环技术，因而其需要运行在一个引导Java虚拟机（JVM）上来创建启动镜像。启动镜像在运行时由一个小型的C装入程序载入，其本质是Jikes RVM启动必须的对象的集合，这些对象则是利用引导JVM的反馈所创建。
编译器在VM Magic里为一个类生成不同的代码（而非字节码）。VM Magic类允许对内存的直接访问，是影响内存管理工具包的性能的关键所在。VM Magic类被包含于org.vmmagic包内，同时也为其他的Java项目所使用。-Jikes Research Virtual Machine (Jikes Research Virtual Machine, referred Jikes RVM) is a mature virtual machine for executing Java program, its earlier versions and the current version of the General Public License (CPL) and the Eclipse Public License (EPL code) under the open. Written in Java virtual machine, Jikes RVM uses meta-cycle technology. The Jikes RVM adopt meta-cycle technology, and thus the need to run in a guide Java Virtual Machine (JVM) up to create a boot image. Start the mirror loaded at run-time by a small C-loader, by its very nature is a the Jikes RVM start must be the object of a collection of these objects feedback is used to guide the JVM created. Generated by the compiler as a class in the VM Magic different code (rather than byte code). VM Magic class allows direct access to the memory, the key to affect the performance of the memory management toolkit. VM Magic class is included in the the org.vmmagic package, also be used for other Java projects.
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Size: 5052416 |
Author: kkpudn28 |
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Description: RVM的工具箱,包含拟合，退化预测，分类的源程序和例子。-RVM toolbox, including fitting, degradation prediction, classification of source code and examples.
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Size: 1092608 |
Author: 许瀚 |
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Description: RVM的工具箱,包含拟合，退化预测，分类的源程序和例子。-RVM toolbox, including fitting, degradation prediction, classification of source code and examples.
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Size: 1092608 |
Author: 许瀚 |
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Description: 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好-Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability
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Size: 160768 |
Author: 小芝麻 |
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Description: 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.--Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer s theorem is no limit on nuclear function, adaptability and better.
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Size: 1024 |
Author: wangtao |
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Description: RVM源代码，有例子说明，供初学者使用，不错的代码-this is a code of RVM, which can help the people who begin to study RVM
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Size: 2048 |
Author: lele |
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Description: 相关向量机用于分类，可用于稀疏贝叶斯学习的研究，文章内含有RVM代码-Relevance vector machine for classification, can be used to study the sparse Bayesian learning, the article contains RVM code
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Size: 2035712 |
Author: dou yuqiang |
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Description: -RVM toolbox, including fitting, degradation prediction, classification of source code and examples.
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Size: 33792 |
Author: 李兵 |
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Description: Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer s theorem is no limit on nuclear function, adaptability and better.-Relevance Vector Machine (RVM) of the matlab source code, including the fast algorithm that contains the code instructions. RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification. Advantages: (1) The goal is not only the amount of the output forecast point estimates, but also the distribution of the output forecast. (2) use less number of support vectors, thus significantly reduce the amount of predictive value of the output goal of computing time. (3) RVM does not require too many parameters estimated. (4) RVM on whether to satisfy Mercer s theorem is no limit on nuclear function, adaptability and better.
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Size: 17408 |
Author: guolei |
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Description: 此代码是关于相关向量机算法的源代码，相关向量机可用于数据预测方面。-This code is about the relevance vector machine algorithm source code, the relevance vector machine can be used for data prediction.
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Size: 12288 |
Author: 赵博雅 |
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Description: 相关向量机的简单代码，可为相关向量机的初学者提供一些帮助(Simple code for a related vector machine which provide some help to Beginner)
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Size: 33792 |
Author: qinbin123 |
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Description: 相关向量机SB2_reLease——200的matlab实验代码，能够运行(The MATLAB experiment code of the related vector machine SB2_reLease - 200 can run)
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Size: 157696 |
Author: 武倩 |
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